Triple
T14867474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Underground |
E349653
|
entity |
| Predicate | currentTerminus |
P38720
|
FINISHED |
| Object | Vörösmarty tér |
E354800
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vörösmarty tér | Statement: [Millennium Underground, currentTerminus, Vörösmarty tér]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vörösmarty tér Context triple: [Millennium Underground, currentTerminus, Vörösmarty tér]
-
A.
Rákóczi tér
Rákóczi tér is a public square and transport hub in Budapest known for its central location and metro station in the Józsefváros district.
-
B.
Nagyvárad tér
Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
-
C.
Széchenyi István tér
Széchenyi István tér is a prominent square in central Budapest, Hungary, known for its grand riverside location by the Danube and its surrounding historic and cultural landmarks.
-
D.
Szabadság tér
Szabadság tér is a prominent public square in central Budapest known for its grand architecture, historical monuments, and political symbolism.
-
E.
Vörösmarty Square
chosen
Vörösmarty Square is a prominent central plaza in Budapest known for its historic architecture, bustling cafés, and role as a major cultural and commercial hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218f11008190bd4837f900746d1a |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 1:55 a.m.